My Data Science Roadmap: Simple 6-9 Month Plan to Get a Job

I'm starting data science from zero in Jaipur. I made this easy plan from Krish Naik's free 2024-2025 roadmap (his GitHub and YouTube). I'll study 20-25 hours a week to build skills and get a job like Junior Data Scientist (₹8-15L in India) by October 2026.

Why This Plan Works for Me

Krish Naik teaches with simple videos and real projects. I'll use Notion to track my work, make a GitHub portfolio, and join his Discord group.

Step 0: Get Ready (Weeks 1-2)

Set up my computer first.

Installation & Setup

Install Anaconda, VS Code, Git

Learn Python basics: lists, loops, functions

Quick math review: lines, slopes, chance (probability)

My First Goal

Upload a simple Python file to GitHub.

Step 1: Learn Data Basics (Month 1)

This is what most jobs need first.

Key Topics

**NumPy and Pandas**: Clean data (try Titanic dataset on Kaggle)

**Stats**: Tests and patterns (Naik videos)

**SQL**: Simple queries and joins (LeetCode easy problems)

My Goal

Make one data analysis notebook and share it.

Step 2: Build Machine Learning Models (Months 2-3)

Learn models to predict things.

| Type | What I'll Learn | My Practice |

|------|-----------------|-------------|

| Prediction | Lines, Trees, XGBoost | Guess house prices, customer leave |

| Grouping | K-Means, Shrink data | Group shoppers |

| Check | Test scores, tune knobs | Get 85% right on test data |

My Goal

One full model notebook.

Step 3: Advanced AI Skills (Months 4-5)

For better jobs in text and pictures.

Tools & Techniques

**Libraries**: PyTorch, CNN for images, words models

**Text Processing**: Summarize news (BERT)

**Computer Vision**: Spot objects (YOLO)

**New AI**: Chat models (Hugging Face)

My Goal

Build and share a web app (like text summarizer).

Step 4: Make Models for Real Work (Months 6-7)

Put models online like pros.

Deployment Skills

**Tracking**: DVC, MLflow for experiment tracking

**Containerization**: Docker, simple web apps (Streamlit)

**Auto-deploy**: GitHub buttons, Heroku or AWS

My Goal

3 working apps online.

Step 5: Get Job Ready (Month 8+)

Show my work and apply.

Final Preparations

**Portfolio**: 5 GitHub projects (like disease predictor)

**Interview Prep**: Code tests, explain big systems

**Job Search**: LinkedIn friends, Naik group; add numbers like "twice as fast"

My Target

Jobs at places like Flipkart or startups.

My Weekly Plan

**60%** - Build projects

**20%** - Watch Naik videos

**20%** - Read and review

**Check progress every Sunday**

Key Success Factors

**Consistency** - 20-25 hours per week is sustainable and effective

**Real Projects** - Build portfolio pieces from day one

**Community** - Join Discord groups and stay connected

**Mentorship** - Follow proven resources like Krish Naik

**Documentation** - Keep GitHub portfolio up-to-date with detailed READMEs

Tools I'll Use

**Anaconda** - Python environment management

**Jupyter Notebooks** - Interactive coding

**VS Code** - Text editor

**Git/GitHub** - Version control and portfolio

**Notion** - Progress tracking

**Kaggle** - Datasets and competitions

**Discord** - Community support

Expected Timeline

**Feb-Mar 2026**: Foundation (Python, SQL, Stats)

**Apr-May 2026**: Machine Learning basics

**Jun-Jul 2026**: Advanced techniques and first deployments

**Aug-Sep 2026**: Portfolio completion and interview prep

**Oct 2026**: Target job offer (Junior Data Scientist role)

Resource Links

**Krish Naik YouTube**: Free comprehensive tutorials

**Kaggle**: Datasets and practice competitions

**LeetCode**: SQL and coding practice

**Hugging Face**: Pre-trained models and libraries

The key is to start now, stay consistent, and build real projects that demonstrate your skills. This roadmap is realistic, achievable, and focuses on what actually gets you hired. Good luck!